Tribhuvan University

Science and Technology

4 year(s)

Bachelor of Science (B.Sc) in Statistics is a four-year course of Tribhuvan University. B.Sc Statistics is offered by many constituent and affiliated colleges of Tribhuvan University across the nation.

**Statistics** is a branch of mathematics dealing with the collection, organization, analysis, interpretation and presentation of data.

Any candidates who have completed 10+ 2 or equivalent securing minimum 'C' grade in all subjects of Grade 11 and 12 with 200 Full Marks of Mathematics are eligible for admission in Bachelor of Science (B.Sc) in Statistics program of Tribhuvan University.

**Course Contents**

Group 'A'

- Introduction to statistics
- Population and samples
- Presentation of Data
- Measures of Central Tendency and Dispersion
- Moments, Skewness, and Kurtosis
- Introduction to Correlation
- Regression Analysis

Group 'B'

- Introduction to Probability
- Random Variables
- Theory of Mathematical Expectation
- Probability DIstributions

**Course Contents**

Methods of Data summarization

Correlation

Methods of Data Modeling

Analysis of Categorical Data

Introduction to Probability

Probability distributions

Estimation

Hypothesis Testing

Nonparametric tests

**Course Contents**

Probability Distributions

- Discrete Distributions
- Continuous Distributions
- Bivariate Distributions
- Sampling Distributions

Theory of Estimation

Theory of Hypothesis Testing

Non-parametric Tests

**Course Contents**

Continuous Distributions

Truncated Distributions

Convergence, Inequalities, and Limit Theorems

Testing of Hypothesis

Decision Theory

Sequential Analysis

**Course Contents**

Development Economics and Economic Measures

Index Numbers

Time Series Analysis

**Course Contents**

Introduction

Linear Programming Problems (LPP)

Network Analysis

Inventory Management

Sequencing Models and Related Problems

**Course Contents**

Group 'A'

- Unit 1: Introduction of Samples Surveys
- Unit 2: Sampling Methods
- Unit 3: Ratio and Regression Methods

Group 'B'

- Unit 1: Introduction to ANOVA
- Unit 2: Fundamental Experimental Designs
- Unit 3: Factorial Designs

**Course Contents**

Unit 1: Linear Regression Model

Unit 2: Multiple linear regression model

Unit 3: Curvilinear Regression Models

Unit 4: Regression on Categorical variables

**Course Contents**

Group 'A'

- Unit 1: Introduction to Demography
- Unit 2: Population Growth Models
- Unit 3: Population Models

Group 'B'

- Unit 4: Official Statistics
- Unit 5: Agriculture and Rural Development Statistics
- Unit 6: Infrastructure

**Course Contents**

Introduction to Survey

Designing Survey Instruments

Remote Sensing and Image Data

Geographical Information System and Spatial Methods

Statistical Analysis of Spatial and Survey Data (Using Software)